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Cheyenne Seet

PROFILE

Cheyenne Seet

Cheyenne Seet developed core medical data management features for the ntu-pear/PEAR_patient_service and PEAR_WebFE repositories, focusing on end-to-end CRUD operations for prescriptions, diagnoses, and dementia data. Using TypeScript, React, and FastAPI, Cheyenne implemented robust API integrations, form validations, and audit trails to improve data integrity, traceability, and clinician workflows. The work included enhancements to admin governance, such as role management and miscellaneous settings, as well as UX improvements like standardized date formatting and accessibility features. Cheyenne’s contributions demonstrated depth in full stack development, emphasizing maintainable code, consistent data handling, and improved patient data accuracy across the platform.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

26Total
Bugs
0
Commits
26
Features
12
Lines of code
2,297
Activity Months2

Your Network

16 people

Shared Repositories

16

Work History

February 2026

8 Commits • 4 Features

Feb 1, 2026

February 2026 focused on delivering core medical data management capabilities, improving data integrity and auditability, and enhancing admin controls. Across PEAR_WebFE and PEAR_patient_service, we shipped end-to-end CRUD for diagnoses, problems, dementia data, and admin settings, and introduced an audit trail for medical diagnoses to support compliance and traceability. These efforts improve patient data accuracy, streamline clinician workflows, and strengthen governance.

January 2026

18 Commits • 8 Features

Jan 1, 2026

January 2026: Delivered end-to-end prescription management across the PEAR stack, enhanced admin governance and data integrity, and improved UX and accessibility. Features span backend services and WebFE, with robust validations, API integration, standardized date/time formatting, and navigation improvements. Result: faster clinician workflows, reduced data-entry errors, stronger access control, and more consistent, accessible patient data.

Activity

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Quality Metrics

Correctness91.6%
Maintainability85.4%
Architecture85.4%
Performance86.2%
AI Usage22.2%

Skills & Technologies

Programming Languages

JavaScriptPythonTypeScript

Technical Skills

API DevelopmentAPI developmentAPI integrationAxiosFastAPIFrontend DevelopmentNodePydanticReactSQLAlchemyTypeScriptbackend developmentdatabase managementform validationfront end development

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

ntu-pear/PEAR_WebFE

Jan 2026 Feb 2026
2 Months active

Languages Used

JavaScriptTypeScript

Technical Skills

Reactform validationfront end developmentfull stack developmentAPI DevelopmentAPI integration

ntu-pear/PEAR_patient_service

Jan 2026 Feb 2026
2 Months active

Languages Used

Python

Technical Skills

FastAPIPydanticSQLAlchemybackend developmentAPI developmentdatabase management